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PPSC
1993
13 years 11 months ago
Parallel Preconditioning and Approximate Inverses on the Connection Machine
We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
Marcus J. Grote, Horst D. Simon
CSC
2009
13 years 11 months ago
Improving Random Walk Performance
Random walk simulation is employed in many experimental algorithmic applications. Efficient execution on modern computer architectures demands that the random walk be implemented t...
Ilya Safro, Paul D. Hovland, Jaewook Shin, Michell...
JMLR
2006
79views more  JMLR 2006»
13 years 10 months ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu
JMLR
2006
97views more  JMLR 2006»
13 years 10 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
ADVIS
2006
Springer
14 years 4 months ago
Structural and Event Based Multimodal Video Data Modeling
Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos. By recording videos about real world entities, we carry...
Hakan Öztarak, Adnan Yazici